Paper Info
Title
Segmentation by Color Space Transformation Prior to Lifting and Integer Wavelet Transformation for Efficient Lossless Coding and Transmission
Abstract
Efficient lossless coding and transmission of large color images through bandlimited channels are of growing interest in many applications. Classically lossless coding is performed in the spatial domain by entropy coding of the decorrelated pixels. However, such coding yields only a maximum of 3:1 compression. Recent developments in integer to integer wavelet transform allow multiresolution representation and progressive transmission of images through bandlimited channels starting from the entropy coded lowest resolution image. However, such schemes are able to reduce the bit rate to a limited extent. We present here an efficient automated technique using a simple color space transformation from RGB to HSI that segments and retrieves the color object contour in a fast manner. When such a segmented image is subjected to the integer to integer wavelet transform followed by an adaptive arithmetic coding model, lossless compression up to 20:1 has been achieved for some color images. Due to the substantial decrease in size of the input image to be processed, the execution time of the entire algorithm is reduced drastically. Although the color transformation from RGB to L*a*b* results in better visual appearance as well as more compressibility, this nonlinear transformation is more computationally intensive. Therefore for progressive transmission a simple color transformation scheme is preferable
Year
DOI
Venue
2000
10.1109/IAI.2000.839587
Austin, TX
Keywords
Field
DocType
efficient lossless coding,color space transformation,progressive transmission,color image,integer wavelet transformation,classically lossless coding,color transformation,bandlimited channel,coding yield,simple color transformation scheme,simple color space transformation,large color image,color object contour,image resolution,rgb,arithmetic coding,lossless compression,visual communication,spatial resolution,wavelet transforms,data compression,color space,transform coding,image segmentation,color,decorrelation,entropy coding,segmentation
Computer vision,Color space,Entropy encoding,Pattern recognition,Computer science,Color depth,RGB color model,Artificial intelligence,Data compression,Arithmetic coding,Context-adaptive binary arithmetic coding,Lossless compression
Conference
ISBN
Citations 
PageRank 
0-7695-0595-3
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Gilberto Zamora1566.01
shuyu yang26813.70
Mark Wilson3748.35
Sunanda Mitra425445.17